I Built Trade MCP: Remote MCP Server for Crypto Tools and Safer AI Trading Workflows

A developer built Trade MCP, a remote MCP server and dashboard for crypto workflows that connects AI clients to exchange APIs and market data providers. The tool encrypts API keys with AES-256-GCM and enforces a human-in-the-loop workflow where AI agents research and prepare trades but cannot execute them without human approval. Trade MCP supports connections to Binance, Bybit, OKX, and Coinbase, and includes a React dashboard for managing configurations.

I built Trade MCP . GitHub: https://github.com/AmaLS367/TradeMcp https://github.com/AmaLS367/TradeMcp And no, this is not another “AI trading bot that will make you rich while you sleep” thing. That stuff sounds cool until you remember one small detail: letting an AI agent freely touch your exchange account is insane. So I built Trade MCP around a different idea: AI should research, compare and prepare. Humans should approve dangerous actions. Simple. Safer. Actually usable. Trade MCP is a remote MCP server and dashboard for crypto workflows. It connects AI clients to: The goal is not to replace your brain. The goal is to give your AI assistant real tools without turning it into a financial gremlin with API keys. MCP is powerful. But when crypto gets involved, things become dangerous very quickly. A normal AI crypto setup usually looks like one of these: .env filesThat is not good enough. If money is involved, the system needs: So I started building that. Trade MCP is built for exchange connections like: API keys are not supposed to just sit in random config files. They are encrypted with AES-256-GCM before storage. Because “just put your exchange key in plain text” is not a security strategy. It is a cry for help. AI models do not magically know live market data. So Trade MCP supports external provider connections for market context. Examples: This lets AI answer using actual data instead of confident nonsense. And confident nonsense in trading is expensive. Crypto Earn products are annoying to compare manually. Different platforms. Different APY. Different assets. Different lock periods. Different conditions. Trade MCP is built to help aggregate and compare those opportunities so an AI client can give a more useful answer. Not just: “Maybe staking is good.” But actual structured comparison. Local MCP is cool for small scripts. But for a real tool, remote MCP feels much better. Trade MCP gives you a remote MCP server approach: This makes the project feel less like a hacky local experiment and more like infrastructure. Trade MCP also has a React dashboard. Because editing everything through config files gets old fast. The dashboard is meant for: A tool can be powerful, but if the UX is painful, people will not use it. The project uses: So it is not just a lonely script in a folder named final-final-real-version . It has a real app structure, backend, frontend, docs, tests and deployment setup. I do not think AI agents should instantly execute trades with full freedom. That sounds impressive in a demo. In real life, it is how you speedrun regret. A better workflow is: That is the core idea behind Trade MCP. Let AI prepare. Let humans approve. Imagine this: Compare my USDT Earn options and find better available opportunities. Or: Analyze BTC market context and prepare a possible trade plan, but do not execute anything. The AI can use MCP tools to gather context. Then it can prepare an answer or proposal. You stay in control. That is the important part. Because AI agents are becoming more capable. But more capability without more control is not automatically good. Especially in crypto. Trade MCP tries to give the agent useful abilities while still keeping the dangerous parts behind proper structure. That means: Just a cleaner foundation for AI-assisted crypto workflows. Trade MCP is still evolving. Things I want to improve: So no, this is not “finished forever”. But it is already a serious foundation. I built Trade MCP . It is a remote MCP server and dashboard for crypto workflows. It supports: The goal is simple: AI researches and prepares. Humans approve. GitHub: https://github.com/AmaLS367/TradeMcp https://github.com/AmaLS367/TradeMcp If you are into MCP, AI agents, crypto tools, secure automation or trading infrastructure, check it out.